Education featured both as a National AI Use Case area and as the backbone of Strategy 4 (Fostering AI Talents) in Malaysia's National AI Roadmap 2021–2025, which called for AI to be introduced at every level from school to tertiary education.
Project 3 — Personalized Learning System
An AI system to boost student engagement and results through a personalised lesson generator and a conversational recommender, delivering individualised learning paths.
Project 4 — Intelligent Automated Assessment System
An automated assessment system supporting the personalised learning system, with script-image marking and an integrated feedback mechanism.
Project 5 — Intelligent Graduates Profiling
A system to profile graduates across cognitive ability, competency, values, emotion and experience, and to map skills against national workforce and industry requirements to improve job matching.
What actually happened, 2021–2025
Education is where the gap between a centrally-specified system and organic adoption is widest. The roadmap named three discrete AI systems; what actually emerged was a national digital-learning platform plus a wave of private edtech and AI-literacy programmes — useful, but not the integrated personalisation-and-assessment engine the roadmap described.
The platform that scaled: DELIMa
The Ministry of Education's DELIMa digital-learning platform reached significant scale — reported at roughly 1.7 million monthly users across about 10,000 schools, 370,000 teachers and 2.5 million students.[1] But DELIMa is fundamentally a blended-learning and content-delivery platform with AI-assisted tools layered in (adaptive quizzing via Kahoot/Quizizz, etc.), not the bespoke “personalised lesson generator + conversational recommender” of Project 3.[2]
Personalisation & assessment: private edtech filled the gap
Where the roadmap imagined a national system, the market delivered apps. Pandai, a local edtech platform, uses AI to tailor quizzes and content and saw wide adoption among secondary students, including B40 families on smartphones.[3] Automated grading tools cut teacher marking time in individual classrooms.[1] Project 4's national script-image marking system and Project 5's graduate-profiling engine have no clear national-scale public delivery trail.
AI literacy: the strongest national thread
Strategy 4's talent goal advanced through AI-literacy programmes: AI Untuk Rakyat, the Experience AI pilot (with the Raspberry Pi Foundation) in 2024, the Education Ministry's AI Talent Roadmap 2024–2033, and Malaysia's first AI faculty at UTM.[4]
Roadmap promised
- A personalised lesson generator + conversational recommender (national)
- Intelligent automated assessment with script-image marking
- Intelligent graduate profiling mapped to workforce needs
- AI embedded at every level from school to tertiary
What 2026 shows
- DELIMa scaled as a blended-learning platform with AI-assisted tools
- Personalisation delivered mostly by private edtech (e.g. Pandai)
- No national-scale automated-marking or graduate-profiling system
- AI literacy is the real win: AI Untuk Rakyat, Experience AI, UTM AI faculty
Where it stands now (rev 2026-06)
National coordination has moved toward the National AI Office and the Ministry of Digital, while the September 2024 National Guidelines on AI Governance and Ethics now frame how schools may adopt automated grading and recommendation tools — with explicit attention, urged by UNESCO, to child-data safeguards.[5] Persistent constraints remain on the ground: surveys report a large share of teachers lacking confidence with educational technology, and rural infrastructure and connectivity gaps continue to limit reach.[6]
Why this matters — and what to watch
Education repeats the roadmap's central pattern: ambitious, centrally-specified AI systems that didn't materialise, alongside real progress in capability and access (a national platform, private edtech, literacy programmes) that the roadmap treated as secondary. The talent goal — arguably the most important — is also the one with the clearest delivery.
For 2026–2030, watch whether DELIMa gains true adaptive-personalisation features rather than bolt-on tools; whether teacher AI-readiness and rural connectivity close enough to make personalisation equitable; and whether child-data governance keeps pace with classroom AI adoption. See responsible AI, then and now.
References & further reading
- “The Complete Guide to Using AI in the Education Industry in Malaysia in 2025” (DELIMa scale; automated grading), Nucamp, Sep 2025. nucamp.co
- “The AI Revolution in Enhancing Malay Language Teaching” (DELIMa adaptive tools), IJRISS, Oct 2025. rsisinternational.org
- “How AI can transform Malaysia's education” (Pandai; Experience AI pilot), Malaysia Gazette, Jun 2025. malaysiagazette.com
- “Malaysia's push for Education AI literacy” (AI Untuk Rakyat; NAIO; AI Talent Roadmap), AI CERTs News, Jan 2026. aicerts.ai
- National AI Office (NAIO), launched 12 Dec 2024 — MyDIGITAL. mydigital.gov.my
- “The Use of AI in Teaching Malay” (teacher tech-readiness; infrastructure gaps), IJASS, 2025. ijassjournal.com